使用Raspberry Pi3的网络摄像头使用Google Cloud Vision检测对象-Java 学习之路

我想将USB网络摄像头与Raspberry Pi3集成，并将捕获的图像发送到Google Cloud Vision以检测对象 . 任何Python 3库都做同样的事情？

我已经成功集成了我的网络摄像头，并能够使用"Motion"通过URL流式传输视频

任何类似于Pi Camera的库或者可以让我从上面提到的Motion库向前移动 . 会有很大的帮助 .

1 回答

完成:)

import pygame
import pygame.camera
import time
import base64

from googleapiclient import discovery
from oauth2client.client import GoogleCredentials


pygame.camera.init()
pygame.camera.list_cameras()
cam = pygame.camera.Camera("/dev/video0", (640, 480))
cam.start()
time.sleep(0.1)
img = cam.get_image()
if file:
    pygame.image.save(img, file)
else:
    pygame.image.save(img, "img_captured.jpg")
cam.stop()

credentials = GoogleCredentials.get_application_default()
service = discovery.build('vision', 'v1', credentials=credentials)

with open('img_captured.jpg', 'rb') as image:
    image_content = base64.b64encode(image.read())
    service_request = service.images().annotate(body={
        'requests': [{
            'image': {
                'content': image_content.decode('UTF-8')
            },
            'features': [{
                'type': 'LOGO_DETECTION',
                'maxResults': 1
            }]
        }]
    })
    response = service_request.execute()

    try:
        label = response['responses'][0]['logoAnnotations'][0]['description']
    except:
        label = "No response."

    print("Detected -->" + label)

回复于 2024-05-03T17:51:32+08:00

使用Raspberry Pi3的网络摄像头使用Google Cloud Vision检测对象

1 回答

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